Web usage mining: discovery and applications of usage patterns from Web data
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Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
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Yes, there is a correlation: - from social networks to personal behavior on the web
Proceedings of the 17th international conference on World Wide Web
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
Tag-based social interest discovery
Proceedings of the 17th international conference on World Wide Web
Community Discovery Based on Social Actors' Interests and Social Relationships
SKG '08 Proceedings of the 2008 Fourth International Conference on Semantics, Knowledge and Grid
Analyzing user's book-loan behaviors in Peking university library from social network perspective
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
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Book-loan is the most important library service. Studying users' book-loan behavior patterns can help libraries to provide more proactive services. Based on users' book-loan history in a university library, we could build a book-borrowing network between users and books. Furthermore, users who borrow the same books are linked together. The users and links then form a co-borrowing network which can be regarded as a knowledge sharing network. Both the book-borrowing network and the co-borrowing network can be used to study users' bookloan behavior patterns. This paper presents a study in analyzing users' book-loan behaviors and mining knowledge dependency between schools and degrees in Peking University. The mining work is based on the book-borrowing network and its corresponding co-borrowing network. To the best of our knowledge, it is the first work to mine knowledge dependency in digital library domain.